使用 Python 掌握代理 AI

资源截图

MP4 |视频：h264，1280×720 |音频：AAC，44.1 KHz，2 Ch
语言：英语 |时长：45m

你将学到什么

• Master the fundamentals of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Agentic AI to build intelligent, autonomous AI applications.
• Develop production-ready AI agents using Python by integrating leading frameworks, tools, APIs, vector databases, memory, RAG, MCP, and multi-agent architecture
• Build and deploy 20+ real-world AI projects, including AI assistants, autonomous agents, workflow automation, document intelligence, chatbots, coding assistants
• 获得利用现代 AI 技术、优化 AI 系统以及自信地创建和部署所需的实用技能

要求

• 建议具备 Python 编程基础知识
• 无需具备 Agentic AI 经验。

描述

通过学习如何使用 Python 构建智能、自主的 AI 应用程序，掌握人工智能的最新进展。 This comprehensive, hands-on course is designed to take you from the fundamentals of Generative AI to advanced Agentic AI systems using today’s most powerful AI technologies.

Whether you’re a beginner entering the AI field or an experienced developer looking to build next-generation AI applications, this course provides a practical, project-based learning experience that prepares you for real-world AI development.

You’ll begin by understanding the foundations of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Python programming before progressing to advanced concepts such as AI Agents, Multi-Agent Systems, Retrieval-Augmented Generation (RAG), Vector Databases, AI Memory, Function Calling, Tool Integration, Model Context Protocol (MCP), AI Workflows, and enterprise AI architectures.

本课程包括 5 个以上的实际项目，展示现代人工智能系统的构建和部署方式。 You’ll create intelligent chatbots, document Q&A systems, research assistants, AI coding assistants, customer support agents, workflow automation tools, content generation platforms, business AI assistants, RAG-powered search systems, MCP-enabled applications, and collaborative multi-agent solutions.

You’ll also explore best practices for designing scalable AI applications, managing context and memory, optimizing prompts, integrating external services, deploying AI applications, and building secure, reliable AI systems suitable for production environments.

By the end of this course, you’ll have a strong portfolio of real-world AI projects and the practical skills required to design, develop, deploy, and scale intelligent AI applications using Python.您将能够利用法学硕士、RAG、MCP 和 Agentic AI 来解决复杂的业务问题并构建尖端的 AI 产品。

Whether your goal is to become an AI Engineer, Python Developer, Machine Learning Engineer, Software Developer, Data Scientist, or entrepreneur building AI-powered products, this course provides the knowledge, hands-on experience, and industry-ready skills to help you succeed in the rapidly evolving world of Artificial Intelligence.

本课程适合谁

• 任何想要从基础到高级掌握 Agentic AI 的人